Diabetes data Profiling Report 3

Dataset statistics

Number of variables	22
Number of observations	1629
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	280.1 KiB
Average record size in memory	176.1 B

Variable types

Numeric	16
Categorical	6

Alerts

`talk_time` is highly correlated with `hgv`	High correlation
`pc` is highly correlated with `fc`	High correlation
`three_g` is highly correlated with `four_g`	High correlation
`fc` is highly correlated with `pc`	High correlation
`four_g` is highly correlated with `three_g`	High correlation
`hgv` is highly correlated with `talk_time`	High correlation
`px_width` is highly correlated with `px_height`	High correlation
`sc_h` is highly correlated with `sc_w`	High correlation
`sc_w` is highly correlated with `sc_h`	High correlation
`px_height` is highly correlated with `px_width`	High correlation
`df_index` has unique values	Unique
`pc` has 79 (4.8%) zeros	Zeros
`sc_w` has 144 (8.8%) zeros	Zeros
`fc` has 407 (25.0%) zeros	Zeros

Reproduction

Analysis started	2022-10-06 05:26:38.085736
Analysis finished	2022-10-06 05:28:06.687032
Duration	1 minute and 28.6 seconds
Software version	pandas-profiling v3.3.1
Download configuration	config.json

df_index
Real number (ℝ_≥0)

UNIQUE

Distinct	1629
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1174.146102

Minimum	1
Maximum	2327
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.9 KiB

Quantile statistics

Minimum	1
5-th percentile	120.8
Q1	606
median	1179
Q3	1756
95-th percentile	2213.6
Maximum	2327
Range	2326
Interquartile range (IQR)	1150

Descriptive statistics

Standard deviation	670.6473106
Coefficient of variation (CV)	0.5711787567
Kurtosis	-1.192300847
Mean	1174.146102
Median Absolute Deviation (MAD)	575
Skewness	-0.01205270568
Sum	1912684
Variance	449767.8153
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
393	1	0.1%
851	1	0.1%
91	1	0.1%
730	1	0.1%
2312	1	0.1%
963	1	0.1%
913	1	0.1%
1986	1	0.1%
1490	1	0.1%
1443	1	0.1%
Other values (1619)	1619	99.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
2	1	0.1%
3	1	0.1%
5	1	0.1%
7	1	0.1%
8	1	0.1%
13	1	0.1%
15	1	0.1%
17	1	0.1%
19	1	0.1%

Value	Count	Frequency (%)
2327	1	0.1%
2326	1	0.1%
2325	1	0.1%
2324	1	0.1%
2323	1	0.1%
2319	1	0.1%
2318	1	0.1%
2316	1	0.1%
2315	1	0.1%
2314	1	0.1%

talk_time
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	19
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.98526703

Minimum	2
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.9 KiB

Quantile statistics

Minimum	2
5-th percentile	3
Q1	6
median	11
Q3	16
95-th percentile	19
Maximum	20
Range	18
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.433631643
Coefficient of variation (CV)	0.4946289995
Kurtosis	-1.208637624
Mean	10.98526703
Median Absolute Deviation (MAD)	5
Skewness	0.01973719172
Sum	17895
Variance	29.52435283
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
7	107	6.6%
4	103	6.3%
15	99	6.1%
6	95	5.8%
10	93	5.7%
16	92	5.6%
13	91	5.6%
19	90	5.5%
11	87	5.3%
18	85	5.2%
Other values (9)	687	42.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	80	4.9%
3	70	4.3%
4	103	6.3%
5	76	4.7%
6	95	5.8%
7	107	6.6%
8	84	5.2%
9	71	4.4%
10	93	5.7%
11	87	5.3%

Value	Count	Frequency (%)
20	81	5.0%
19	90	5.5%
18	85	5.2%
17	72	4.4%
16	92	5.6%
15	99	6.1%
14	78	4.8%
13	91	5.6%
12	75	4.6%
11	87	5.3%

battery_power
Real number (ℝ_≥0)

Distinct	915
Distinct (%)	56.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1250.555556

Minimum	502
Maximum	1998
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.9 KiB

Quantile statistics

Minimum	502
5-th percentile	574.8
Q1	856
median	1265
Q3	1615
95-th percentile	1936.6
Maximum	1998
Range	1496
Interquartile range (IQR)	759

Descriptive statistics

Standard deviation	438.4124463
Coefficient of variation (CV)	0.3505741463
Kurtosis	-1.198661271
Mean	1250.555556
Median Absolute Deviation (MAD)	377
Skewness	-0.02097780131
Sum	2037155
Variance	192205.4731
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1949	6	0.4%
1330	6	0.4%
1715	5	0.3%
767	5	0.3%
1154	5	0.3%
946	5	0.3%
793	5	0.3%
534	5	0.3%
618	5	0.3%
1281	5	0.3%
Other values (905)	1577	96.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
502	2	0.1%
503	3	0.2%
504	4	0.2%
506	2	0.1%
507	3	0.2%
508	2	0.1%
509	1	0.1%
510	3	0.2%
511	4	0.2%
512	1	0.1%

Value	Count	Frequency (%)
1998	1	0.1%
1997	1	0.1%
1996	2	0.1%
1995	3	0.2%
1994	3	0.2%
1993	1	0.1%
1992	3	0.2%
1991	2	0.1%
1989	3	0.2%
1988	1	0.1%

pc
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	21
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.966236955

Minimum	0
Maximum	20
Zeros	79
Zeros (%)	4.8%
Negative	0
Negative (%)	0.0%
Memory size	12.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	5
median	10
Q3	15
95-th percentile	20
Maximum	20
Range	20
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	6.137808427
Coefficient of variation (CV)	0.6158601741
Kurtosis	-1.206497185
Mean	9.966236955
Median Absolute Deviation (MAD)	5
Skewness	0.02244086549
Sum	16235
Variance	37.67269228
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
10	97	6.0%
20	96	5.9%
1	92	5.6%
4	90	5.5%
9	89	5.5%
7	86	5.3%
17	80	4.9%
0	79	4.8%
15	78	4.8%
13	76	4.7%
Other values (11)	766	47.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	79	4.8%
1	92	5.6%
2	75	4.6%
3	71	4.4%
4	90	5.5%
5	59	3.6%
6	72	4.4%
7	86	5.3%
8	74	4.5%
9	89	5.5%

Value	Count	Frequency (%)
20	96	5.9%
19	75	4.6%
18	67	4.1%
17	80	4.9%
16	74	4.5%
15	78	4.8%
14	73	4.5%
13	76	4.7%
12	67	4.1%
11	59	3.6%

three_g
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.9 KiB

1	1252
0	377

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1629
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	1252	76.9%
0	377	23.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	1252	76.9%
0	377	23.1%

Most occurring characters

Value	Count	Frequency (%)
1	1252	76.9%
0	377	23.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1629	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1252	76.9%
0	377	23.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	1629	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1252	76.9%
0	377	23.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1629	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1252	76.9%
0	377	23.1%

mobile_wt
Real number (ℝ_≥0)

Distinct	121
Distinct (%)	7.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	140.0006139

Minimum	80
Maximum	200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.9 KiB

Quantile statistics

Minimum	80
5-th percentile	86
Q1	109
median	140
Q3	170
95-th percentile	196
Maximum	200
Range	120
Interquartile range (IQR)	61

Descriptive statistics

Standard deviation	35.48554919
Coefficient of variation (CV)	0.2534670971
Kurtosis	-1.245567705
Mean	140.0006139
Median Absolute Deviation (MAD)	31
Skewness	0.0279042485
Sum	228061
Variance	1259.224201
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
199	26	1.6%
105	25	1.5%
182	24	1.5%
101	24	1.5%
169	21	1.3%
185	20	1.2%
111	20	1.2%
93	19	1.2%
88	19	1.2%
160	18	1.1%
Other values (111)	1413	86.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
80	14	0.9%
81	10	0.6%
82	12	0.7%
83	13	0.8%
84	16	1.0%
85	12	0.7%
86	14	0.9%
87	10	0.6%
88	19	1.2%
89	17	1.0%

Value	Count	Frequency (%)
200	17	1.0%
199	26	1.6%
198	17	1.0%
197	17	1.0%
196	15	0.9%
195	5	0.3%
194	5	0.3%
193	12	0.7%
192	15	0.9%
191	16	1.0%

px_width
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	922
Distinct (%)	56.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1242.829957

Minimum	500
Maximum	1997
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.9 KiB

Quantile statistics

Minimum	500
5-th percentile	574.4
Q1	865
median	1235
Q3	1615
95-th percentile	1930.6
Maximum	1997
Range	1497
Interquartile range (IQR)	750

Descriptive statistics

Standard deviation	431.8262273
Coefficient of variation (CV)	0.3474539899
Kurtosis	-1.176062454
Mean	1242.829957
Median Absolute Deviation (MAD)	376
Skewness	0.03944181928
Sum	2024570
Variance	186473.8906
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1429	8	0.5%
874	7	0.4%
1345	6	0.4%
952	6	0.4%
1942	6	0.4%
831	6	0.4%
1199	6	0.4%
589	5	0.3%
1013	5	0.3%
1463	5	0.3%
Other values (912)	1569	96.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
500	3	0.2%
501	2	0.1%
506	1	0.1%
507	1	0.1%
509	1	0.1%
510	3	0.2%
512	2	0.1%
513	2	0.1%
515	2	0.1%
516	2	0.1%

Value	Count	Frequency (%)
1997	1	0.1%
1996	1	0.1%
1995	3	0.2%
1994	1	0.1%
1992	1	0.1%
1989	3	0.2%
1988	4	0.2%
1987	1	0.1%
1986	1	0.1%
1985	1	0.1%

sc_h
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	15
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.38305709

Minimum	5
Maximum	19
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.9 KiB

Quantile statistics

Minimum	5
5-th percentile	6
Q1	9
median	12
Q3	16
95-th percentile	19
Maximum	19
Range	14
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.233144954
Coefficient of variation (CV)	0.3418497487
Kurtosis	-1.211969187
Mean	12.38305709
Median Absolute Deviation (MAD)	4
Skewness	-0.1021900341
Sum	20172
Variance	17.9195162
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
17	157	9.6%
7	127	7.8%
12	123	7.6%
18	114	7.0%
16	113	6.9%
11	113	6.9%
15	112	6.9%
14	106	6.5%
13	105	6.4%
19	104	6.4%
Other values (5)	455	27.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	70	4.3%
6	96	5.9%
7	127	7.8%
8	91	5.6%
9	104	6.4%
10	94	5.8%
11	113	6.9%
12	123	7.6%
13	105	6.4%
14	106	6.5%

Value	Count	Frequency (%)
19	104	6.4%
18	114	7.0%
17	157	9.6%
16	113	6.9%
15	112	6.9%
14	106	6.5%
13	105	6.4%
12	123	7.6%
11	113	6.9%
10	94	5.8%

sc_w
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	19
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.744014733

Minimum	0
Maximum	18
Zeros	144
Zeros (%)	8.8%
Negative	0
Negative (%)	0.0%
Memory size	12.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	5
Q3	9
95-th percentile	14
Maximum	18
Range	18
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.327377998
Coefficient of variation (CV)	0.7533716745
Kurtosis	-0.3736838351
Mean	5.744014733
Median Absolute Deviation (MAD)	3
Skewness	0.6407417346
Sum	9357
Variance	18.72620033
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
1	175	10.7%
4	156	9.6%
3	154	9.5%
0	144	8.8%
5	138	8.5%
2	124	7.6%
6	113	6.9%
7	106	6.5%
8	98	6.0%
10	89	5.5%
Other values (9)	332	20.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	144	8.8%
1	175	10.7%
2	124	7.6%
3	154	9.5%
4	156	9.6%
5	138	8.5%
6	113	6.9%
7	106	6.5%
8	98	6.0%
9	76	4.7%

Value	Count	Frequency (%)
18	4	0.2%
17	16	1.0%
16	25	1.5%
15	25	1.5%
14	28	1.7%
13	38	2.3%
12	55	3.4%
11	65	4.0%
10	89	5.5%
9	76	4.7%

m_dep
Real number (ℝ_≥0)

Distinct	10
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4995702885

Minimum	0.1
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.9 KiB

Quantile statistics

Minimum	0.1
5-th percentile	0.1
Q1	0.2
median	0.5
Q3	0.8
95-th percentile	1
Maximum	1
Range	0.9
Interquartile range (IQR)	0.6

Descriptive statistics

Standard deviation	0.2896130809
Coefficient of variation (CV)	0.5797243902
Kurtosis	-1.285353051
Mean	0.4995702885
Median Absolute Deviation (MAD)	0.3
Skewness	0.08524555276
Sum	813.8
Variance	0.08387573661
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0.1	273	16.8%
0.2	173	10.6%
0.7	171	10.5%
0.8	167	10.3%
0.5	159	9.8%
0.9	157	9.6%
0.3	154	9.5%
0.6	153	9.4%
0.4	137	8.4%
1	85	5.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1	273	16.8%
0.2	173	10.6%
0.3	154	9.5%
0.4	137	8.4%
0.5	159	9.8%
0.6	153	9.4%
0.7	171	10.5%
0.8	167	10.3%
0.9	157	9.6%
1	85	5.2%

Value	Count	Frequency (%)
1	85	5.2%
0.9	157	9.6%
0.8	167	10.3%
0.7	171	10.5%
0.6	153	9.4%
0.5	159	9.8%
0.4	137	8.4%
0.3	154	9.5%
0.2	173	10.6%
0.1	273	16.8%

touch_screen
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.9 KiB

0	816
1	813

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1629
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	816	50.1%
1	813	49.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	816	50.1%
1	813	49.9%

Most occurring characters

Value	Count	Frequency (%)
0	816	50.1%
1	813	49.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1629	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	816	50.1%
1	813	49.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	1629	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	816	50.1%
1	813	49.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1629	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	816	50.1%
1	813	49.9%

fc
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	20
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.268876611

Minimum	0
Maximum	19
Zeros	407
Zeros (%)	25.0%
Negative	0
Negative (%)	0.0%
Memory size	12.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	7
95-th percentile	13
Maximum	19
Range	19
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.395121824
Coefficient of variation (CV)	1.029573404
Kurtosis	0.4151274194
Mean	4.268876611
Median Absolute Deviation (MAD)	3
Skewness	1.066962687
Sum	6954
Variance	19.31709585
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
0	407	25.0%
1	195	12.0%
2	150	9.2%
3	138	8.5%
4	109	6.7%
5	99	6.1%
6	98	6.0%
7	81	5.0%
8	64	3.9%
9	59	3.6%
Other values (10)	229	14.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	407	25.0%
1	195	12.0%
2	150	9.2%
3	138	8.5%
4	109	6.7%
5	99	6.1%
6	98	6.0%
7	81	5.0%
8	64	3.9%
9	59	3.6%

Value	Count	Frequency (%)
19	1	0.1%
18	11	0.7%
17	9	0.6%
16	20	1.2%
15	19	1.2%
14	16	1.0%
13	27	1.7%
12	30	1.8%
11	46	2.8%
10	50	3.1%

four_g
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.9 KiB

1	876
0	753

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1629
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	876	53.8%
0	753	46.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	876	53.8%
0	753	46.2%

Most occurring characters

Value	Count	Frequency (%)
1	876	53.8%
0	753	46.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1629	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	876	53.8%
0	753	46.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1629	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	876	53.8%
0	753	46.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1629	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	876	53.8%
0	753	46.2%

hgv
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	19
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.98526703

Minimum	2
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.9 KiB

Quantile statistics

Minimum	2
5-th percentile	3
Q1	6
median	11
Q3	16
95-th percentile	19
Maximum	20
Range	18
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.433631643
Coefficient of variation (CV)	0.4946289995
Kurtosis	-1.208637624
Mean	10.98526703
Median Absolute Deviation (MAD)	5
Skewness	0.01973719172
Sum	17895
Variance	29.52435283
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
7	107	6.6%
4	103	6.3%
15	99	6.1%
6	95	5.8%
10	93	5.7%
16	92	5.6%
13	91	5.6%
19	90	5.5%
11	87	5.3%
18	85	5.2%
Other values (9)	687	42.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	80	4.9%
3	70	4.3%
4	103	6.3%
5	76	4.7%
6	95	5.8%
7	107	6.6%
8	84	5.2%
9	71	4.4%
10	93	5.7%
11	87	5.3%

Value	Count	Frequency (%)
20	81	5.0%
19	90	5.5%
18	85	5.2%
17	72	4.4%
16	92	5.6%
15	99	6.1%
14	78	4.8%
13	91	5.6%
12	75	4.6%
11	87	5.3%

blue
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.9 KiB

0	853
1	776

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1629
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	853	52.4%
1	776	47.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	853	52.4%
1	776	47.6%

Most occurring characters

Value	Count	Frequency (%)
0	853	52.4%
1	776	47.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1629	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	853	52.4%
1	776	47.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	1629	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	853	52.4%
1	776	47.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1629	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	853	52.4%
1	776	47.6%

n_cores
Real number (ℝ_≥0)

Distinct	8
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.524861878

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	4
Q3	7
95-th percentile	8
Maximum	8
Range	7
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.29225851
Coefficient of variation (CV)	0.5065919295
Kurtosis	-1.242101759
Mean	4.524861878
Median Absolute Deviation (MAD)	2
Skewness	-0.00969767195
Sum	7371
Variance	5.254449075
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
7	214	13.1%
3	212	13.0%
4	209	12.8%
8	205	12.6%
6	202	12.4%
1	201	12.3%
2	194	11.9%
5	192	11.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	201	12.3%
2	194	11.9%
3	212	13.0%
4	209	12.8%
5	192	11.8%
6	202	12.4%
7	214	13.1%
8	205	12.6%

Value	Count	Frequency (%)
8	205	12.6%
7	214	13.1%
6	202	12.4%
5	192	11.8%
4	209	12.8%
3	212	13.0%
2	194	11.9%
1	201	12.3%

wifi
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.9 KiB

1	828
0	801

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1629
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	828	50.8%
0	801	49.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	828	50.8%
0	801	49.2%

Most occurring characters

Value	Count	Frequency (%)
1	828	50.8%
0	801	49.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1629	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	828	50.8%
0	801	49.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1629	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	828	50.8%
0	801	49.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1629	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	828	50.8%
0	801	49.2%

dual_sim
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.9 KiB

1	832
0	797

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1629
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	832	51.1%
0	797	48.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	832	51.1%
0	797	48.9%

Most occurring characters

Value	Count	Frequency (%)
1	832	51.1%
0	797	48.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1629	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	832	51.1%
0	797	48.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	1629	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	832	51.1%
0	797	48.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1629	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	832	51.1%
0	797	48.9%

ram
Real number (ℝ_≥0)

Distinct	1217
Distinct (%)	74.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2120.357274

Minimum	256
Maximum	3998
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.9 KiB

Quantile statistics

Minimum	256
5-th percentile	456.4
Q1	1211
median	2137
Q3	3031
95-th percentile	3834
Maximum	3998
Range	3742
Interquartile range (IQR)	1820

Descriptive statistics

Standard deviation	1079.789375
Coefficient of variation (CV)	0.5092487894
Kurtosis	-1.168537297
Mean	2120.357274
Median Absolute Deviation (MAD)	919
Skewness	0.0311448587
Sum	3454062
Variance	1165945.095
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2227	6	0.4%
2334	6	0.4%
1851	5	0.3%
2822	4	0.2%
3834	4	0.2%
690	4	0.2%
2610	4	0.2%
461	4	0.2%
3615	4	0.2%
1886	4	0.2%
Other values (1207)	1584	97.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
256	1	0.1%
258	2	0.1%
259	1	0.1%
262	1	0.1%
265	1	0.1%
273	1	0.1%
277	1	0.1%
278	2	0.1%
282	1	0.1%
285	1	0.1%

Value	Count	Frequency (%)
3998	1	0.1%
3996	1	0.1%
3993	1	0.1%
3991	1	0.1%
3978	1	0.1%
3971	3	0.2%
3970	1	0.1%
3969	1	0.1%
3966	1	0.1%
3965	2	0.1%

int_memory
Real number (ℝ_≥0)

Distinct	63
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.60036832

Minimum	2
Maximum	64
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.9 KiB

Quantile statistics

Minimum	2
5-th percentile	5
Q1	16
median	33
Q3	48
95-th percentile	61
Maximum	64
Range	62
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	17.99509966
Coefficient of variation (CV)	0.5519906854
Kurtosis	-1.196104348
Mean	32.60036832
Median Absolute Deviation (MAD)	16
Skewness	0.02417941111
Sum	53106
Variance	323.8236117
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
16	45	2.8%
27	39	2.4%
57	38	2.3%
33	34	2.1%
23	33	2.0%
42	33	2.0%
10	32	2.0%
9	32	2.0%
7	31	1.9%
44	31	1.9%
Other values (53)	1281	78.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	29	1.8%
3	20	1.2%
4	12	0.7%
5	27	1.7%
6	29	1.8%
7	31	1.9%
8	29	1.8%
9	32	2.0%
10	32	2.0%
11	23	1.4%

Value	Count	Frequency (%)
64	29	1.8%
63	23	1.4%
62	18	1.1%
61	25	1.5%
60	22	1.4%
59	10	0.6%
58	26	1.6%
57	38	2.3%
56	26	1.6%
55	26	1.6%

px_height
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	926
Distinct (%)	56.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	641.1264579

Minimum	0
Maximum	1960
Zeros	2
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	12.9 KiB

Quantile statistics

Minimum	0
5-th percentile	68
Q1	286
median	557
Q3	936
95-th percentile	1518.8
Maximum	1960
Range	1960
Interquartile range (IQR)	650

Descriptive statistics

Standard deviation	440.4137866
Coefficient of variation (CV)	0.6869374694
Kurtosis	-0.2080957794
Mean	641.1264579
Median Absolute Deviation (MAD)	311
Skewness	0.6942521556
Sum	1044395
Variance	193964.3034
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
347	7	0.4%
286	6	0.4%
410	6	0.4%
293	5	0.3%
344	5	0.3%
320	5	0.3%
730	5	0.3%
649	5	0.3%
570	5	0.3%
160	5	0.3%
Other values (916)	1575	96.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	0.1%
1	1	0.1%
2	1	0.1%
3	2	0.1%
4	3	0.2%
6	1	0.1%
7	1	0.1%
8	2	0.1%
9	1	0.1%
10	1	0.1%

Value	Count	Frequency (%)
1960	1	0.1%
1920	1	0.1%
1914	1	0.1%
1901	1	0.1%
1899	1	0.1%
1895	1	0.1%
1874	1	0.1%
1869	2	0.1%
1858	3	0.2%
1852	1	0.1%

clock_speed
Real number (ℝ_≥0)

Distinct	26
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.527501535

Minimum	0.5
Maximum	3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.9 KiB

Quantile statistics

Minimum	0.5
5-th percentile	0.5
Q1	0.7
median	1.5
Q3	2.3
95-th percentile	2.8
Maximum	3
Range	2.5
Interquartile range (IQR)	1.6

Descriptive statistics

Standard deviation	0.8157418999
Coefficient of variation (CV)	0.5340367138
Kurtosis	-1.321472551
Mean	1.527501535
Median Absolute Deviation (MAD)	0.8
Skewness	0.1741776272
Sum	2488.3
Variance	0.6654348472
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
0.5	335	20.6%
2.8	77	4.7%
2.1	65	4.0%
1.3	64	3.9%
2.3	64	3.9%
1	60	3.7%
2.4	56	3.4%
2.5	56	3.4%
1.6	56	3.4%
1.4	56	3.4%
Other values (16)	740	45.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.5	335	20.6%
0.6	56	3.4%
0.7	49	3.0%
0.8	44	2.7%
0.9	45	2.8%
1	60	3.7%
1.1	45	2.8%
1.2	43	2.6%
1.3	64	3.9%
1.4	56	3.4%

Value	Count	Frequency (%)
3	24	1.5%
2.9	50	3.1%
2.8	77	4.7%
2.7	36	2.2%
2.6	45	2.8%
2.5	56	3.4%
2.4	56	3.4%
2.3	64	3.9%
2.2	47	2.9%
2.1	65	4.0%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	talk_time	battery_power	pc	three_g	mobile_wt	px_width	sc_h	sc_w	m_dep	touch_screen	fc	four_g	hgv	blue	n_cores	wifi	dual_sim	ram	int_memory	px_height	clock_speed
0	393	4	1715	20	1	120	1849	16	2	0.6	1	9	1	4	0	6	0	1	1249	15	114	2.6
1	1728	10	1678	11	1	134	536	19	0	0.9	1	3	1	10	0	3	0	0	278	64	436	2.1
2	190	9	781	7	0	88	607	17	10	0.2	0	1	0	9	1	2	0	1	3862	64	368	1.3
3	1480	15	1430	16	0	183	1182	7	1	0.5	1	1	0	15	0	1	1	1	2832	27	1132	0.5
4	30	18	955	10	1	155	1254	14	1	0.6	1	2	0	18	1	4	0	0	1974	2	428	0.5
5	1449	9	1549	4	1	91	990	7	3	0.7	0	0	0	9	1	4	1	1	799	62	167	1.8
6	211	11	1846	2	0	159	773	15	6	0.7	1	1	0	11	1	1	1	0	1333	19	83	0.6
7	643	9	1175	9	1	164	1394	9	4	0.3	1	2	0	9	1	7	0	0	1944	19	873	1.3
8	1762	16	1481	13	1	96	1533	10	5	0.6	1	4	1	16	1	5	1	1	2945	37	116	0.7
9	1434	8	907	12	0	160	896	13	6	0.2	0	7	0	8	1	3	0	1	3911	44	144	2.6

Last rows

	df_index	talk_time	battery_power	pc	three_g	mobile_wt	px_width	sc_h	sc_w	m_dep	touch_screen	fc	four_g	hgv	blue	n_cores	wifi	dual_sim	ram	int_memory	px_height	clock_speed
1619	1433	15	1982	16	1	129	1873	16	14	0.1	1	12	0	15	0	7	1	0	3511	24	764	1.1
1620	1636	9	600	2	0	112	747	18	0	0.8	0	0	0	9	0	5	0	0	1655	14	320	0.5
1621	2315	14	1835	13	1	193	583	18	17	0.1	0	4	1	14	1	7	0	0	448	11	385	2.3
1622	357	19	765	11	0	88	1851	6	1	0.3	1	3	0	19	1	8	1	0	2256	44	1364	2.5
1623	125	16	1814	2	1	141	786	18	12	0.4	0	1	1	16	0	2	0	1	3556	9	756	1.4
1624	794	13	1122	14	1	120	790	11	2	0.6	1	9	0	13	0	4	1	0	3291	2	331	1.2
1625	1313	5	999	1	1	167	745	17	10	0.1	0	0	1	5	1	4	0	1	1344	27	20	1.8
1626	1983	16	1501	15	1	187	1056	13	12	0.2	1	12	1	16	0	1	1	0	2487	2	198	1.1
1627	2248	16	1456	20	1	193	1427	12	11	0.2	1	5	0	16	0	3	0	1	3624	49	1285	1.6
1628	837	15	1225	1	1	138	1101	12	11	0.6	1	0	1	15	0	7	0	1	2675	2	217	0.7

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII